# Build vs buy web scraping | The in-house stack vs Zenrows > The honest reckoning of building a scraping stack in-house against buying the platform: where the hours go, how the bill scales with traffic, and when each answer is right. Languages: [English](https://www.zenrows.com/compare/build-vs-buy.md) · [Español](https://www.zenrows.com/compare/build-vs-buy.es.md) · [Français](https://www.zenrows.com/compare/build-vs-buy.fr.md) · [日本語](https://www.zenrows.com/compare/build-vs-buy.ja.md) · [Português](https://www.zenrows.com/compare/build-vs-buy.pt-br.md) · [中文](https://www.zenrows.com/compare/build-vs-buy.zh.md) · [한국어](https://www.zenrows.com/compare/build-vs-buy.ko.md) An in-house stack is free until it isn't. As traffic grows, the bill grows with it: engineer time, proxy bills, a browser pool with concurrent sessions, retry tuning, round-the-clock on-call, and quarterly rewrites when target sites drift. Zenrows is the platform teams pick instead of standing that up — one vendor, one bill, one team doing the maintenance for you. ## Get Started - [Get a free API key](https://app.zenrows.com/register) — 5,000 credits/month, always, no card - [Docs](https://docs.zenrows.com) - [Machine-readable pricing](https://www.zenrows.com/pricing.md) - [Agent onboarding skill](https://www.zenrows.com/SKILL.md) ## What the in-house bill is made of - **Engineer time** — part of an FTE that maintains the stack rather than the product - **Proxy bills** — residential routing, billed monthly, growing with volume - **Browser fleet** — concurrent sessions to provision and keep healthy - **Retry handling** — backoff logic and tuning work, forever - **On-call rotation** — round-the-clock cover for a stack only your team can fix - **Drift fixes** — quarterly rewrites as target sites change their defenses and layouts The hours go to the plumbing, not the work that moves the business — and every one of those line items scales with pages per day. ## What buying replaces it with - **Fetch** — the request path: proxies, unlocking, JS rendering, retries handled per call; credits weighted by difficulty (1 standard / 5 JS render / 10 premium proxy / 25 protected), failed requests never charged - **Extract** — the parser: structured JSON in the same request, at no extra credit cost - **Batch** — the queue and scheduler: up to 100,000 URLs per job with retries, webhooks and failed-task replay - **Browser Sessions** — the browser fleet: managed browsers your existing Puppeteer/Playwright code connects to over one WebSocket - **One bill** — one credit balance across all of it, rollover on every paid plan ## FAQ ### When does building in-house make sense? When targets are few and friendly, volume is small and stable, and the team genuinely wants to own every layer — or when policy requires everything on your own infrastructure. At that scale the stack is a script, not a system, and a script is cheap. ### When does the in-house answer stop holding? When traffic grows or targets start defending themselves. Anti-bot walls turn access into a specialist problem; scale turns retries, scheduling and browser fleets into systems with on-call; drift turns every quarter into rewrites. That spend recurs forever, and it buys plumbing rather than product. ### What does switching actually look like? The request path becomes one call (`zenrows.fetch(url)`), parsing becomes Extract on the same request, bulk jobs become a Batch queue, and existing browser scripts connect to Browser Sessions unchanged. Most teams keep their orchestration and drop the layers beneath it. ### How does the cost compare? An in-house stack bills you in engineer hours, proxy invoices and browser infrastructure that scale with pages per day. Zenrows bills credits per page, weighted by difficulty, from one balance — with the whole stack's maintenance inside the price. The machine-readable ladder is at [zenrows.com/pricing.md](https://www.zenrows.com/pricing.md); compare it against your own volume honestly. ### Can AI agents operate Zenrows on their own? Yes. The Agent Toolkit ships skills, plugins, workflows, an MCP server, and a CLI that self-provisions on first cloud call — so the platform works for the agents your team builds, not only the humans. Onboarding for machines: [zenrows.com/SKILL.md](https://www.zenrows.com/SKILL.md) and [zenrows.com/auth.md](https://www.zenrows.com/auth.md). _Canonical HTML: https://www.zenrows.com/compare/build-vs-buy_ ## Site Navigation ### Global Hub - [Home](https://www.zenrows.com/index.md) - [Pricing](https://www.zenrows.com/pricing.md) - [Products](https://www.zenrows.com/products.md) - [Agent Toolkit](https://www.zenrows.com/agents.md) - [Compare](https://www.zenrows.com/compare.md) - [Alternatives](https://www.zenrows.com/alternatives.md) - [Docs](https://docs.zenrows.com) - [llms.txt](https://www.zenrows.com/llms.txt) - [Agent skill](https://www.zenrows.com/SKILL.md) ### On This Topic - [All comparisons hub](https://www.zenrows.com/compare.md) - [Zenrows vs in-house Playwright](https://www.zenrows.com/compare/playwright.md) - [Zenrows vs Bright Data](https://www.zenrows.com/compare/bright-data.md) - [Zenrows vs Oxylabs](https://www.zenrows.com/compare/oxylabs.md) - [Zenrows vs Firecrawl](https://www.zenrows.com/compare/firecrawl.md) - [Zenrows vs Apify](https://www.zenrows.com/compare/apify.md) - [Zenrows vs Browserbase](https://www.zenrows.com/compare/browserbase.md) - [Zenrows vs Scrapfly](https://www.zenrows.com/compare/scrapfly.md) - [Zenrows vs Exa](https://www.zenrows.com/compare/exa.md) - [Zenrows vs Tavily](https://www.zenrows.com/compare/tavily.md)